Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/67303
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dc.contributor.authorKeer, Kaustubh-
dc.contributor.authorBokhare, Anuja-
dc.date.accessioned2026-02-26T09:29:28Z-
dc.date.available2026-02-26T09:29:28Z-
dc.date.issued2026-02-
dc.identifier.issnISSN: 0975-1076 (Online) ;ISSN: 0971-7544 (Print)-
dc.identifier.urihttp://nopr.niscpr.res.in/handle/123456789/67303-
dc.description289-298en_US
dc.description.abstractThe research offers data-driven insights into the intellectual property landscape of AI-powered healthcare innovation in India between 2010 and 2025, with a focus on advancements employing artificial intelligence (AI), machine learning (ML), and deep learning (DL). The analysis uses curated data from Scopus to investigate trends in patent filings, identify leading applications and inventors, and highlight recent technology sectors such as medical imaging, diagnostics, and predictive analytics. This research provides actionable insights into the structure of AI-healthcare innovation in India and offers a foundation for policymakers, investors, and researchers to navigate the evolving intellectual property landscape.en_US
dc.language.isoenen_US
dc.publisherNIScPR-CSIR,Indiaen_US
dc.sourceJIPR Vol.31(2) [March 2026]en_US
dc.subjectArtificial Intelligenceen_US
dc.subjectMachine Learningen_US
dc.subjectDeep Learningen_US
dc.subjectHealthcareen_US
dc.subjectPatentsen_US
dc.subjectBibliometric Analysisen_US
dc.subjectData Visualizationen_US
dc.titleAI, Machine Learning, and Deep Learning in Indian Healthcare: Intellectual Property Trends and Insights (2010–2025)en_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.56042/jipr.v31i2.20856en_US
Appears in Collections:JIPR Vol.31(2) [March 2026]

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